Confidently Wrong: How AI Agents Really Work

You have heard that your organization needs AI agents. You may even be the person expected to make it happen. And in every meeting about it there is a moment when the slide says "agentic workflow," the room nods, and you quietlywonder whether anyone present actually knows what that means.It always sounds sure. Learn when it's wrong.This book is for that moment.Confidently Wrong is a complete, honest tour of what it takes to bring AI agents into a real organization: to build them, deploy them, govern them, and keep them alive in production once customers depend on them, disguised as an office comedy you will actually want to finish.On the floor of a company called Cogentic there is one underlying brain, and every employee is that same brilliant, slightly out-of-date brain wearing a different hat. Underneath, they are the same mind arguing with itself, which isexactly why the cardinal rule of the floor is *Don't Talk to Each Other.*You learn it the way Newt, the newest hire, does: one mission at a time, by watching a confident answer fall apart in exactly the way that teaches the most. Planning, tools, retrieval, memory, cost, security, fairness, resilience, observability, drift, safe deployment, every hard thing a real team has to get right gets its own scene, and its own laugh.Finish it, and you will be able to sit in that meeting and explain, in plain words, why a system that sounds completely sure of itself still needs watching.================================================================================WHAT YOU WILL LEARN================================================================================- What an AI agent actually is, and when a plain rule beats one- How a single agent becomes an orchestrated multi-agent system- Tools and actions, and the line between reading the world and changing it- Retrieval (RAG), memory, and the context window, in plain language- Cost, model selection, and where the money really goes- Security: prompt injection, the trust boundary, and guarding both doors- Fairness, transparency, and accountability you can defend- Resilience: retries, circuit breakers, and graceful degradation- Observability and drift, and why green dashboards lie- Shipping safely: A/B tests, canary releases, versioning, and rollback================================================================================AUDIENCE / WHO IT IS FOR================================================================================Primary: Non-technical leaders responsible for AI: executives and CxOs (CEO, CIO, CTO, CDO, CAIO), founders, product managers, transformation and strategy leads, operations leaders.Also: Engineers, PMs, and designers who want the whole picture; consultants and analysts; MBA and executive education students; anyone tired of nodding along about "agentic AI."Prerequisites: None. No coding required. Read more